Jim Harris

My name is Jim Harris, I am the Blogger-in-Chief of OCDQ Blog, and an independent consultant, speaker, and freelance writer for hire.

My Services Contact Me
Search OCDQ Blog
Recent Comments
« DAMA International | Main | The Higher Education of Data Quality »
Tuesday
Aug232011

Are Cloud Providers the Bounty Hunters of IT?

This blog post is sponsored by the Enterprise CIO Forum and HP.

Julie Hunt recently blogged about how “line-of-business (LOB) groups have been turning to cloud-based services to quickly set up technology solutions that support their business needs and objectives,” which is especially true when “IT teams are already carrying heavy workloads with ever-shrinking staffing levels, and frequently don’t have the resources to immediately respond to time-sensitive LOB needs.”

As I have previously blogged, speed and agility are the most common business drivers for implementing new technology, and the consumer technologies of cloud computing and software-as-a-service (SaaS) enable business users to directly purchase solutions.

When on-premises IT teams cannot solve their time-sensitive business problems, organizations use off-premises cloud providers, which are essentially the Bounty Hunters of IT.

 

The Bounty Hunters of IT

In The Empire Strikes Back, frustrated by the inability of on-premises IT teams (in this case, IT stood for Imperial Troops) to solve a time-sensitive business problem (in this case, crushing the competitive rebellion), Darth Vader uses the off-premises force.

“There will be a substantial reward for the one who finds the Millennium Falcon,” Vader explains to a group of bounty hunters. “You are free to use any methods necessary, but I want them alive.  No disintegrations.”  That last point was specifically directed at Boba Fett, the bounty hunter who would later provide a cloud-based solution by tracking the Millennium Falcon to Cloud City.

Cloud providers are the Bounty Hunters of IT, essentially free to use any technology methods necessary to solve time-sensitive business problems.  Although, in the short-term, cloud providers can help, in the long-term, if their solutions are not integrated into the IT Delivery strategy of the organization, they can also hurt.  One example is creating new data integration challenges.

 

“No Data Disintegrations”

“It’s clear,” Hunt explained, “that enterprises will continue to increase usage of cloud and SaaS offerings to find new ways to operate more competitively and efficiently.”  However, she noted it’s also clear that “the same challenges that enterprises face for on-premises data management obviously apply to data repositories in the cloud.”  And one new challenge is “data that cannot be aligned with enterprise datasets will destroy the value and cost savings that enterprises want from cloud services.”

“Moving any business relevant functionality to the cloud,” Christian Verstraete recently blogged, “requires addressing the issue of integrating the cloud-based applications with the enterprise IT systems.”  In his blog post, Verstraete examines three options for integrating cloud data and enterprise data: remote access, synchronization, and dynamic migration.

Although there will always be times and places for leveraging the Bounty Hunters of IT, before Boba Fett sells you a solution in Cloud City, make sure you emphasize that there should be “no data disintegrations.”

In other words, your cloud strategy must include a plan to prevent data in the cloud from becoming disintegrated in the sense that it is not integrated with the rest of the organization’s data.

This blog post is sponsored by the Enterprise CIO Forum and HP.

 

Related Posts

The Diderot Effect of New Technology

The IT Consumerization Conundrum

The IT Prime Directive of Business First Contact

A Sadie Hawkins Dance of Business Transformation

Are Applications the La Brea Tar Pits for Data?

Why does the sun never set on legacy applications?

The Partly Cloudy CIO

The IT Pendulum and the Federated Future of IT

Suburban Flight, Technology Sprawl, and Garage IT

PrintView Printer Friendly Version

EmailEmail Article to Friend

Reader Comments (3)

Great post Jim and quite spooky, just penning something to do with data quality (DQ) and fragmentation this afternoon.

One of the biggest problems I used to witness with onsite DQ assessments was the "local data store syndrome", hell let’s geek out and give it a FLA (four-letter-acronym): LDSS

Most LDSS’s would spring up because of the frustration with the IT team not servicing the business either fast enough or effectively enough. Screw it, all I need is a few tables and a data entry form, let’s knock it up in MS-Access.

Now we have the cloud application brigade that can obviously build anything we want at unrivalled speed but the question obviously arises - how are we going to govern this growth?

The technology aspects are all eminently solvable but my concern is around the governance and management of data quality, priorities not always on the radar when that sexy new cloud computing brochure lands on the sponsors desk.

But perhaps I’m rebelling against technology because my 20 year old boiler has just blown up and the plumber wants me to buy an (expensive) new one with a shiny new computer console that I can even program, bah humbug :-(

August 23, 2011 | Unregistered CommenterDylan Jones

Great post, Jim.

Echoes a lot of what I’ve written in my Ark Group publication that they titled Data Strategy and Governance Toolkit but which I wrote as “Jinkies, it’s all about the data!”

I have a whole chapter on Cloud stuff which you have just summarised in an increasingly tightly stretched metaphor ;-)

But then again, I’m the guy who wrote about how The Doctor in Doctor Who is a role model for Information Quality leaders.

August 23, 2011 | Unregistered CommenterDaragh O Brien

From the LinkedIn Group for The Enterprise Architecture Network, Pearl Zhu commented:

“Timely posting about data management/Cloud solution in the enterprise architecture (EA) forum. There are many great discussions here regarding how to re-imagine and re-invent EA to unleash its full business potential, such as how data architecture beyond the data model, much like today’s application architecture, will refer to abstraction layers and separation of concerns, and how cloud reshapes the architecture by thinking holistically.”

August 24, 2011 | Registered CommenterJim Harris

PostPost a New Comment

Enter your information below to add a new comment.

My response is on my own website »
Author Email (optional):
Author URL (optional):
Post:
 
Some HTML allowed: <a href="" title=""> <abbr title=""> <acronym title=""> <b> <blockquote cite=""> <code> <em> <i> <strike> <strong>